Zero Networks Segment vs VMware NSX
Zero of fourteen models named Zero Networks Segment first on the direct prompt; zero named VMware NSX. Zero Networks Segment was named by thirteen of the fourteen models and VMware NSX by thirteen and Zero Networks Segment carries 31 labels and VMware NSX 32, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the microsegmentation page.
By framing
Zero Networks SegmentFirst choices, of fourteen modelsVMware NSX
Across every category in the October 2026 Edition, Zero Networks Segment and VMware NSX were named in the same answer forty-eight times, of the 95 answers naming Zero Networks Segment and the 150 naming VMware NSX. In those answers VMware NSX took the first choice one time and Zero Networks Segment ten.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | | |
Zero Networks Segment VMware NSX first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zero Networks Segment on the left and VMware NSX on the right.The direct prompt
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Zero Networks Segment16%#1 of 10VMware NSX0%#10 of 10Zero Networks Segment2%#5 of 9VMware NSX2%#7 of 9Zero Networks Segment2%#6 of 9VMware NSX2%#7 of 9What the models said about Zero Networks Segment
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Zero Networks' MFA-centric model may not suit every environment... with Kubernetes segmentation still maturing.” Claude Haiku 4.5 · negative prompt · soft negative
“Emerging; less mature integrations” Grok 4.1 Fast · comparative prompt · soft negative
“Prioritize modern, identity/label-based tools (e.g., Calico for K8s, Zero Networks for simplicity)” Grok 4.1 Fast · negative prompt · first choice
“I recommend Zero Networks.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Zero Networks (Runner-Up) - Best if: Your company is cloud-heavy or you want zero-trust segmentation” GLM 4.7 FlashX · paraphrase prompt · alternative
What the models said about VMware NSX
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Broadcom-led VMware NSX: While technically powerful, recent restructuring at Broadcom has caused confusion regarding licensing costs and support models. Be cautious of long-term contracts” Qwen 3.7 Flash · negative prompt · soft negative
“If you are a VMware Shop: Stick with VMware NSX. It is native, reliable, and easiest to manage.” Qwen 3.7 Flash · comparative prompt · first choice
“Illumio and VMware NSX are strong contenders for hybrid environments” Mistral Small · scale prompt · first choice
“If your infrastructure is 100% VMware, choose VMware NSX for seamless, low-overhead native security.” Gemini 3.5 Flash · comparative prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.